231 search results - page 16 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
GLOBECOM
2010
IEEE
13 years 6 months ago
2010
IEEE
In a cognitive radio network, the full-spectrum is usually divided into multiple channels. However, due to the hardware and energy constraints, a cognitive user (also called second...
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
NIPS
2008
13 years 10 months ago
2008
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
AIPS
2003
13 years 10 months ago
2003
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...